Maps with R

Ilya Kashnitsky

17 June 2021

Map projections

Mercator explained

Mercator size

Animating the Mercator projection to the true size of each country in relation to all the others.

Now with added Antarctica!#dataviz #maps #GIS #projectionmapping #mapping pic.twitter.com/VNDRSjOpXe
— Neil Kaye (@neilrkaye) January 8, 2019

Mercator: Greenland vs Africa

We live by the #Mercator projection of the world. Check yourself the true size of your country 🌍

For example, Greenland and Africa are shown in Mercator projection as roughly the same size, although in reality Africa is about fourteen times larger!

By @neilrkaye pic.twitter.com/km1tJO80qX
— Zbigniew PISARSKI (@Pisarski) October 17, 2018

New fancy projection (Waterman Butterfly)

behold, my greatest invention: the Mercator Globe pic.twitter.com/AcY0XqBMCp
— 𝑨𝒔𝒉⬩ (@ashastral) December 11, 2018

My first real @observablehq notebook: Swiss Grid vs. Web Mercatorhttps://t.co/gVH5aD8qET pic.twitter.com/tzS6ZqwYdB
— Roman Karavia (@rkaravia) April 4, 2019

http://epsg.io

Are we too focused on areas?

As many of you noticed the map I used is not using the proper vote results from the 2016 U.S. presidential election. I have been mislead by the map posted by Lara Trump which shows more red than it should be. Here is an updated version of the GIF: pic.twitter.com/et2P9qn5P3
— Karim Douïeb (@karim_douieb) October 9, 2019

Stärkste Partei pro Gemeinde, Nationalratswahl 2019.
Stärkste Partei pro Gemeinde, skaliert nach Einwohnerzahl.
Daten: @StatSchweiz. Code: @rkaravia. pic.twitter.com/oecFJblkzP
— NZZ Visuals (@nzzvisuals) October 21, 2019

Sources of geodata

https://gadm.org/data.html

http://wiki.openstreetmap.org/wiki/Shapefiles

google “download shapefile” =)

Where to go next?

Materials

https://geocompr.robinlovelace.net

https://cengel.github.io/R-spatial/

https://bookdown.org

https://www.r-bloggers.com

Packages to explore

https://cran.r-project.org/web/packages/tmap/vignettes/tmap-getstarted.html

https://r-spatial.github.io/sf

https://walkerke.github.io/tidycensus/articles/basic-usage.html

https://bhaskarvk.github.io/tilegramsR/

https://cran.r-project.org/web/packages/voteogram/vignettes/intro_to_voteogram.html

https://www.r-graph-gallery.com/cartogram.html

I've had another go at calculating a composite risk score for every neighborhood (MSOA) in England accounting for age-based mortality risk and vaccine coverage.

The darkest red areas here are those facing the highest mortality risks if they see high COVID case numbers… pic.twitter.com/Qzztkq8VSp
— Colin Angus (@VictimOfMaths) June 14, 2021